A comparative study on the fatty acid profiles of total lipid, neutral and polar lipids in the liver and muscle of Capoeta sieboldii (Steindachner, 1864) and Capoeta baliki (Turan, Kottelat, Ekmekçi, Imamoğlu, 2006) from Tödürge lake (Sivas, Turkey)

The fatty acid compositions of the total lipid, neutral and polar lipid fractions in the liver and muscle of Capoeta sieboldii and Capoeta baliki from Tödürge Lake were determined. Major fatty acids found in total lipid (TL) and neutral lipid (NL) in liver and muscles were C16:0, C16:1 n-7, C18:1 n-9, C18:1 n-7, C20:4 n-6, C20:5 n-3, C22:5 n-3, and C22:6 n-3. Beside these acids, C18:0 was another notable fatty acid in polar lipid (PL) fraction of the tissues investigated. The n-3/n-6 ratio, which is an indicator of health benefits of fish oils, was between 2.89 (PLs of liver) and 5.84 (PLs of muscle) in C. baliki, while it was found between 1.43 (PLs of liver) and 2.52 (NLs of muscle) in C. sieboldii. C. baliki was the excellent species in terms of polyunsaturated fatty acid (PUFA) levels in TL (43.92% in muscle) and PLs (52.94% in muscle) and C22:6 n-3 amounts (docosahexaenoic acid; DHA) were responsible for these high percentages. These results suggest that Capoeta species investigated have high nutritive value in terms of polyunsaturated fatty acids for human nutrition

Post EVAR endovascular revision of late onset stent graft collapse due to Type 1 endoleak in a complicated case with left limb occlusion and solitary kidney

Type 1 endoleak is one of the most frequent complication usually seen at the initial phase of EVAR procedure. B alloon dilatation is mostly used to oversize the proximal or the distal part of the orifice to stabilize the attachment of the graft stent to the aortic wall. Late onset of type 1 endoleak with graft stents may cause severe lumen compression of the stent and aneurysm enlargement which might cause a serious problem especially in a patient whose graft stents left iliac branch is thrombosed and the left leg is supplied by the bypass graft from right CFA. Although operation was advised by the endovascular specialists the procedure was done in our hospital as the patient preferred the endovascular method instead of open surgery

Effect of different segmentation methods using optical satellite imagery to estimate fuzzy clustering parameters for Sentinel-1A SAR images

Optical and SAR data are efficient data sources for shoreline monitoring. The processing of SAR data such as feature extraction is not an easy task since the images have totally different structure than optical imagery. Determination of threshold value is a challenging task for SAR data. In this study, SENTINEL-2A optical data was used as ancillary data to predict fuzzy membership parameters for segmentation of SENTINEL-1A SAR data to extract shoreline. SENTINEL-2A and SENTINEL-1A satellite images used were taken in September 9, 2016 and September 13, 2016 respectively. Three different segmentation algorithms which are selected from object, learning and pixel-based methods. They have been exploited to obtain land and water classes which have been used as an input data for parameter estimation. Thus, the performance of different segmentation algorithm has been investigated and analysed. In the first step of the study, Mean-Shift, Random Forest and Whale Optimization algorithms have been employed to obtain water and land classes from the SENTINEL-2A image. Water and land classes derived from each algorithm – are used as input data, and then the required parameters for the fuzzy clustering of SENTINEL-1A SAR image, were calculated. Lake Constance, Germany has been chosen as the study area. In this study, additionally an interface plugin has been developed and integrated into the open source Quantum GIS software platform. The developed interface allows non-experts to process and extract the shorelines without using any parameters. But, this system requires pre-segmented data as input. Thus, the batch process calculates the required parameters

Realizing optimal hydrogen evolution reaction properties via tuning phosphorous and transition metal interactions

Hydrogen is one of the most attractive renewables for future energy application, therefore it is vital to develop cost-effective and highly-efficient electrocatalysts for the hydrogen evolution reaction (HER) to promote the generation of hydrogen from mild methods. In this work, Co–Mo phosphide nanosheets with the adjustable ratio of Co and Mo were fabricated on carbon cloth by a facile hydrothermal-annealing method. Owing to the unique nanostructures, abundant active surfaces and small resistance were achieved. Excellent electrocatalytic performances are obtained, such as the small overpotential of ∼67.3 mV to realize a current density of 10 mA cm−2 and a Tafel slope of 69.9 mV dec−1. Rapid recovery of the current response under multistep chronoamperometry is realized and excellent stability retained after the CV test for 2000 cycles. The change of electronic states of different elements was carefully studied which suggested the optimal electrochemical performance can be realized by tuning phosphorous and metal interactions

A Note on Projective Klingenberg Planes over Rings of Plural Numbers

This paper deals with a certain class of projective Klingenberg planes over the local ring F[eta]/lteta^{m}gt with F an arbitrary field, known as the plural algebra of order m. In particular addition and multiplication of points on a line is defined geometrically and interpreted algebraically, by using the coordinate ring

The Impact of the COVID-19 Pandemic on the Psychological Well-Being of Caregivers of People with Dementia or Mild Cognitive Impairment: A Systematic Review and Meta-Analysis

The aim of this systematic review was to investigate the effects of the COVID-19 lockdown on the psychological well-being of caregivers of people with dementia or mild cognitive impairment (PwD/MCI). Electronic databases were searched from inception to August 2022 for observational studies investigating the COVID-19 lockdown and psychological well-being of caregivers of PwD/MCI. Summary estimates of standardized mean differences (SMD) in psychological well-being scores pre- versus during COVID-19 were calculated using a random-effects model. Fifteen studies including 1702 caregivers (65.7% female, mean age 60.40 ± 12.9 years) with PwD/MCI were evaluated. Five studies found no change in psychological well-being parameters, including depression, anxiety, distress, caregiver burden, and quality of life. Ten studies found a worsening in at least one parameter: depression (six studies, n = 1368; SMD = 0.40; 95%CI: 0.09–0.71; p = 0.01, I2 = 86.8%), anxiety (seven studies, n = 1569; SMD = 1.35; 95%CI: 0.05–2.65; I2 = 99.2%), caregiver distress (six studies, n = 1320, SMD = 3.190; 95%CI: 1.42–4.95; p < 0.0001; I2 = 99.4%), and caregiver burden (four studies, n = 852, SMD = 0.34; 95%CI: 0.13–0.56; p = 0.001; I2 = 54.1%) (p < 0.05). There was an increase in depression, anxiety, caregiver burden, and distress in caregivers of PwD/MCI during the lockdown in the COVID pandemic. This could have longer term consequences, and it is essential that caregivers’ psychological well-being is assessed and supported, to benefit both themselves and those for whom they care

Spine deformities in patients with Ehlers-Danlos syndrome, type IV - late results of surgical treatment

<p>Abstract</p> <p>Background</p> <p>Spinal deformities in Ehlers-Danlos syndrome are usually progressive and may require operative treatment. There is limited number of studies describing late results of surgery in this disease.</p> <p>Methods</p> <p>This is a retrospective study of the records of 11 patients with Ehlers-Danlos syndrome type IV, treated surgically between 1990 and 2007. All patients underwent surgical treatment for spinal deformity. Duration of operation, type of instrumentation, intraoperative blood loss, complications and number of additional surgeries were noted. Radiographic measurement was performed on standing AP and lateral radiographs acquired before surgery, just after and at final follow up.</p> <p>Results</p> <p>The mean follow up period was 5.5 ± 2.9 years (range 1-10 years). The mean preoperative thoracic and lumbar curve were 109.5 ± 19.9° (range 83° - 142°) and 75.6 ± 26.7° (range 40° - 108°) respectively. Posterior spine fusion alone was performed on 6 patients and combined anterior and posterior fusion (one- or two stage) on 5 cases. Posterior segmental spinal instrumentation was applied with use of hooks, screws and wires. The mean postoperative thoracic and lumbar curve improved to 79.3 ± 16.1° (range 56° - 105°) and 58.5 ± 27.7° (range 10° - 95°) respectively, with a slight loss of correction during follow up. The average thoracic and lumbar correction was 26.4 ± 14.9% (range 5.3 - 50.4%) and 26.3 ± 21.2% (range 7.9 - 75%). Postoperatively, the mean kyphosis was 79.5 ± 40.3° (range 21° -170°), and lordosis was 50.8 ± 18.6° (range 20° -79°). Hyperkyphosis increased during follow up while lordosis remained stable. Mean Th12-L2 angle was -3.5 ±9.9° (range -19° - 15°) postoperatively and did not change significantly during follow up.</p> <p>Conclusions</p> <p>Huge spinal deformities in patients with Ehlers-Danlos syndrome require complex and extensive surgery. There is a big risk of sagittal imbalance in this group.</p

EFFECT OF DIFFERENT SEGMENTATION METHODS USING OPTICAL SATELLITE IMAGERY TO ESTIMATE FUZZY CLUSTERING PARAMETERS FOR SENTINEL-1A SAR IMAGES

Optical and SAR data are efficient data sources for shoreline monitoring. The processing of SAR data such as feature extraction is not an easy task since the images have totally different structure than optical imagery. Determination of threshold value is a challenging task for SAR data. In this study, SENTINEL-2A optical data was used as ancillary data to predict fuzzy membership parameters for segmentation of SENTINEL-1A SAR data to extract shoreline. SENTINEL-2A and SENTINEL-1A satellite images used were taken in September 9, 2016 and September 13, 2016 respectively. Three different segmentation algorithms which are selected from object, learning and pixel-based methods. They have been exploited to obtain land and water classes which have been used as an input data for parameter estimation. Thus, the performance of different segmentation algorithm has been investigated and analysed. In the first step of the study, Mean-Shift, Random Forest and Whale Optimization algorithms have been employed to obtain water and land classes from the SENTINEL-2A image. Water and land classes derived from each algorithm – are used as input data, and then the required parameters for the fuzzy clustering of SENTINEL-1A SAR image, were calculated. Lake Constance, Germany has been chosen as the study area. In this study, additionally an interface plugin has been developed and integrated into the open source Quantum GIS software platform. The developed interface allows non-experts to process and extract the shorelines without using any parameters. But, this system requires pre-segmented data as input. Thus, the batch process calculates the required parameters